Internet of Things and Cyber-Physical Systems
Internet of Things and Cyber-Physical Systems
Internet of Things and Cyber-Physical Systems publishes rigorously peer-reviewed, high quality original articles and authoritative reviews that focus on Internet of Things and Cyber-Physical Systems. ...
Internet of Things and Cyber-Physical Systems publishes rigorously peer-reviewed, high quality original articles and authoritative reviews that focus on Internet of Things and Cyber-Physical Systems. All articles are published fully Open Access on ScienceDirect.
The journal welcomes research articles, review papers, perspectives, short communications and technical notes on all aspects of artificial intelligence and its applications. Conference papers may be accepted if they have been substantially extended. Special issues of the journal that focus on a particular aspect of the field are also occasionally published. Special areas of interest include but are not limited to:
- Artificial Intelligence for IoT and CPS
- Big Data Analytics and Applications
- Blockchain and Web3 Technologies and Applications
- Communications and Networking for IoT and CPS
- Computer Vision and Image Processing Based on Vision Sensors
- Cyber-Physical Systems
- Digital Twins, Cyber Twins, Web Twins
- Edge Computing and Cloud Computing
- Emerging Technologies Based on IoT and CPS
- Industrial Information
- Industrial Internet and Industry 4.0
- Internet of Things and Internet of Vehicles
- Intelligent Transportation Systems and Vehicular Networks
- Machine to Machine
- Multimedia and Imaging in Industry
- Pervasive and Ubiquitous Computing
- Trust, Security and Privacy Mechanism for IoT and CPS
- Services, Applications and Standards for IoT and CPS
- Sensors and Devices for IoT and CPS
- Virtual Reality, Augmented Reality and Mixed Reality in Industry
Call for Papers
News
Related journals
Digital Communications and Networks
ISSN: 2352-8648
Sensors International
ISSN: 2666-3511
Virtual Reality & Intelligent Hardware
ISSN: 2096-5796
International Journal of Intelligent Networks
ISSN: 2666-6030